Senior Data Analyst

Há 23 horas


Lisboa, Lisboa, Portugal Veeva Systems Tempo inteiro

The Role

Veeva Link is a suite of data applications that provide deep insights across various areas, including key people and key accounts.

As a Senior Data Analyst, you will serve as the subject matter expert for questions regarding Link data structure and quality.

You will ensure the data we use meets the product goals and provide data analysis for various stakeholders.

You will closely work with product management, data operations, data governance, software engineering, and quality assurance teams.

To thrive in your role, you need to have an academic background in a technical field and a life science background or experience working with life science data.

You should have substantial experience with data analytics, large databases, and complex data sets.

You are a fast learner, detail-oriented, have a growth mindset, and can turn data into valuable insights.

You communicate effectively with stakeholders and can deliver high-quality results within a tough timeline.

You are comfortable working remotely in an international environment.

What You'll Do

  • Assure that data quality and compliance meet our high standards.
  • Extract data from databases (e.g., Redshift, Mongo DB).
  • Analyze large data sets and generate insights.
  • Identify data gaps and quality issues and provide root cause analysis.
  • Build and maintain a technical data model (entity relationship diagram).
  • Create customized reports and dashboards for internal stakeholders.

Requirements

  • University degree in an analytical or technical field, e.g., bioinformatics, applied mathematics.
  • 3+ years of working experience in data analysis or data quality, with life science data experience.
  • Experience in complex organizational structures, reporting to senior management.
  • Proven track record managing data analytics projects.
  • Advanced SQL skills (joins, subqueries, subquery factoring).
  • Proficient in Python for data manipulation and analysis.
  • Experience with large databases and complex datasets.
  • Skilled in data visualization tools (e.g., Superset, Tableau, Power BI).
  • Strong written and verbal communication skills in English.

Nice to Have

  • Experience with workflow orchestration tools (e.g., Apache Airflow).
  • Experience with data governance and data quality frameworks.
  • Strong understanding of statistical analysis and modeling.
  • Ability to create and maintain automated reporting systems.

Perks & Benefits

  • Opportunity to work in a diverse and international workspace.
  • Personal development budget.
  • Fitness reimbursement.

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